At a Glance
- Tasks: Design and build data products, ensuring high quality and collaboration across teams.
- Company: Join a forward-thinking company that values innovation and teamwork.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on personal development and AI integration.
- Why this job: Make an impact by transforming data into valuable insights using Python.
- Qualifications: Strong Python and SQL skills, with a passion for data quality.
The predicted salary is between 45000 - 55000 £ per year.
Responsibilities
- Design and evolve data product schemas and fields, turning product requirements into well‑modelled datasets.
- Build and maintain data feeds primarily using Python with SQL to transform, validate and ship datasets.
- Monitor and improve data quality with checks, diagnostics and investigations across large datasets.
- Collaborate with Product, Data Engineering, Apps and ML teams to deliver new features and improvements.
- Keep documentation for your products and processes clear, up to date and useful.
- Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
Requirements
- Strong Python skills (comfortable writing production-quality code for data transformations, validation and automation)
- Good SQL skills and experience working with large datasets
- Attention to detail and interest in data quality and validation
- Clear communicator who enjoys collaborating across teams
- Willingness to use AI to accelerate your personal understanding and productivity.
- Familiarity with AWS‑based data stacks (e. g. S3, EMR/Spark, Athena, Airflow/Azkaban, notebooks) is nice to have but not essential.
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We think you need these skills to ace Data Engineer – Python in Manchester
Python
SQL
Data Quality Assurance
Data Transformation
Data Validation
Collaboration Skills
Attention to Detail
